This paper is in the following e-collection/theme issue:

Tutorials in AI (2) AI Data (13) Foundations of AI (47) Research Methodology - AI (14)

Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52615, first published .
Generating Synthetic Electronic Health Record Data Using Generative Adversarial Networks: Tutorial

Generating Synthetic Electronic Health Record Data Using Generative Adversarial Networks: Tutorial

Generating Synthetic Electronic Health Record Data Using Generative Adversarial Networks: Tutorial

Authors of this article:

Chao Yan1 Author Orcid Image ;   Ziqi Zhang2 Author Orcid Image ;   Steve Nyemba1 Author Orcid Image ;   Zhuohang Li2 Author Orcid Image
Article Authors Cited by (1) Tweetations (10) Metrics

Journals

  1. Pitkämäki T, Pahikkala T, Perez I, Movahedi P, Nieminen V, Southerington T, Vaiste J, Jafaritadi M, Khan M, Kontio E, Ranttila P, Pajula J, Pölönen H, Degerli A, Plomp J, Airola A. Finnish perspective on using synthetic health data to protect privacy: the PRIVASA project. Applied Computing and Intelligence 2024;4(2):138 View